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Ernesto Arias

@ernestoarias1

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Data Science / Analyst specializing in fraud detection and ML pipelines.

United States

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What I'm looking for

I am looking for a senior role building fraud detection and ML/MLOps systems where I can lead technical projects, collaborate with stakeholders, and scale automated pipelines to reduce risk and improve detection accuracy.

I am an analyst with experience designing fraud detection systems and building end-to-end ML infrastructure. I have led initiatives that combine SQL, Python, and MLOps to detect and block fraudulent activity.

My background includes developing machine learning models using behavioral signals and designing anomaly detection systems to proactively mitigate threats. This experience translates directly to traditional data science and analyst roles across product, reporting, and marketing functions. My expertise in behavioral modeling enables me to identify user patterns and segment customers for product optimization and targeted marketing campaigns. The SQL proficiency and data pipeline architecture I’ve developed for fraud detection readily applies to building scalable reporting infrastructure, creating executive dashboards, and automating KPI tracking. My experience with anomaly detection systems equips me to identify outliers in product metrics and detect unusual customer behavior.

I hold a Master’s in Business Analytics and certifications in AWS Solutions Architecture and GCP ML Engineering

Experience

Work history, roles, and key accomplishments

Senior Cyber Data Analyst

HUMAN Security

Jul 2024 - Feb 2026 (1 year 7 months)

Led fraud detection initiatives, building Snowflake SQL and Python systems and MLOps pipelines that improved detection and automated model training, deployment, and monitoring. Implemented Airflow orchestration and SQL-based detection rules with unit tests to reduce false positives.

Snowflake SQL Python MLOps Airflow Fraud Detection Unit Testing

Senior Data Analyst, Fraud

Audible

Jan 2022 - Aug 2024 (2 years 7 months)

Spearheaded fraud protection strategies, increasing detection rates by over 30% through ML models and advanced analytics; automated reporting and built data pipelines using AWS services. Designed Isolation Forest anomaly detection to enable proactive threat mitigation.

Machine Learning Anomaly Detection AWS Glue SQL Isolation Forest Data Pipelines Fraud Detection

Decision Analyst

Huntington National Bank

Nov 2020 - Jan 2022 (1 year 2 months)

Led cross-channel analysis using SAS and SQL to identify high-value opportunities, ran A/B tests to optimize customer flows, and maintained KPI dashboards to track campaign and conversion performance. Resolved unsubscribe workflow errors ensuring CAN-SPAM compliance.

SAS SQL A B Testing Funnel Analysis KPIs Experimentation Compliance Data Analysis

Business Analyst III

Huntington National Bank

Nov 2019 - Nov 2020 (1 year)

Built and optimized compliance and operational dashboards, automated reporting with SQL and SAS to cut manual time by 50%, and led risk assessments and product/process improvement initiatives across IT and compliance teams.

SQL SAS Dashboarding Compliance Risk Assessment Process Improvement Internal Audit ETL

Senior Fraud Data Analyst

Bread Financial

Mar 2018 - Nov 2019 (1 year 8 months)

Performed trend and risk analysis, created SQL detection rules and risk scoring models that helped prevent ~$12M in losses over two years, and managed real-time alerting and ETL processes using SAS and SAS Scheduler.

SQL SAS Risk Scoring ETL Alerting Fraud Analysis

Education

Degrees, certifications, and relevant coursework

Case Western Reserve University

Master of Science, Business Analytics

Completed a Master of Science in Business Analytics with coursework in predictive modeling, machine learning, data mining and visualization, and marketing modeling.

University of Maryland

Bachelor of Science, Cybersecurity

Earned a Bachelor of Science in Cybersecurity with coursework in digital forensic analysis, ethical hacking, network forensic and security, and cloud computing.